Momenta, a prominent player in the global autonomous driving landscape, has officially passed its listing hearing with the Hong Kong Stock Exchange (HKEX). This milestone signals the company's entry into the final stretch of its initial public offering (IPO), with industry giants CICC and Deutsche Bank serving as joint sponsors. The move highlights a critical transition for Chinese AI firms as they shift from experimental development to large-scale commercial viability.
Financial disclosures reveal a period of explosive growth for the Beijing-based unicorn. Momenta's revenue has more than tripled over the last three years, soaring from 743 million RMB in 2023 to 2.41 billion RMB by 2025. This trajectory represents a compound annual growth rate of over 80%, a pace that underscores the surging demand for advanced driver-assistance systems (ADAS) in the world’s largest automotive market. Furthermore, the company has fortified its balance sheet with a cash reserve exceeding 10 billion RMB, providing a significant buffer for future competition.
Unlike many of its peers that remain stuck in the pilot phase, Momenta has achieved significant industrial scale. As of late 2025, the company's autonomous driving systems have been integrated into more than 900,000 mass-produced vehicles. With successful deliveries across 100 different car models and contracts for over 210 future models, Momenta has demonstrated an unprecedented ability to deploy technology rapidly, reportedly reaching a milestone of 100,000 units delivered in under 40 days.
Despite its commercial success, the company remains deeply rooted in research and development. In 2025 alone, Momenta invested 1.87 billion RMB into R&D, accounting for approximately 77.5% of its total revenue. This high-intensity spending is supported by a workforce where 82% of employees are researchers, more than two-thirds of whom hold master’s degrees or higher. This commitment to technical excellence suggests that Momenta is positioning itself not just as a software supplier, but as a core architect of the future of 'Physical AI' in the global transport sector.
